Banana

[SumitM @SumitM_X]

As a Java developer,

Please learn:

1. Core Java Mastery
- OOP principles (SOLID, DRY, KISS)
- Generics, Lambda expressions, Functional interfaces
- Java Streams API (map/reduce, collectors)
- Java Collections framework
- Java Reflection API
- Exception handling

2. Multithreading & Concurrency
- Thread synchronization, Executors, Locks
- Fork/Join framework
- Understanding of race conditions, deadlocks, and thread pools
- Concurrency utilities (java.util.concurrent)

3. Design Patterns & Architecture
- Common design patterns (Singleton, Factory, Builder)
- Architectural patterns (MVC, - Microservices, Event-Driven Architecture)
- Dependency Injection (DI), Inversion of Control (IoC)

4. Java Memory Management
- Garbage Collection (G1, CMS, ZGC)
- JVM heap and stack management
- Profiling tools (JProfiler, VisualVM)
- Analyzing memory leaks, thread dumps, and heap dumps

5. Classloaders and Reflection
- Custom class loaders
- Dynamic class loading
- Reflection for runtime behavior manipulation

6. Spring Framework & Spring Boot
- Spring Core (Dependency Injection, AOP)
- Spring Boot (Auto-configuration, Microservices support)
- Spring Security (OAuth2, JWT)
- Spring Data (JPA, Hibernate integration)
- Spring Cloud (Netflix OSS, Circuit Breakers)

7. Microservices Architecture
- Service discovery (Eureka, Consul)
- Load balancing, distributed tracing, and circuit breaking
- API Gateway (Zuul, NGINX)
- Asynchronous communication with Kafka, RabbitMQ

8. RESTful Web Services
- REST principles, building APIs
- JSON/XML handling
- API versioning, OpenAPI/Swagger documentation

9. Java I/O and NIO
- Blocking vs non-blocking I/O (NIO)
- Asynchronous I/O, channels, selectors
- File handling, serialization and deserialization

10. Reactive Programming
- Project Reactor, RxJava
- Event-driven architecture, backpressure
- Reactive streams, non-blocking IO

11. JPA/Hibernate
- ORM principles, entity relationships
- Lazy vs eager loading
- Caching strategies, query optimization

12. Database Optimization
- SQL optimization, indexing, and transactions
- NoSQL databases (MongoDB, Cassandra)
- ACID principles, CAP theorem

13. Distributed Systems
- Consistency, availability, partitioning (CAP)
- Event sourcing, CQRS (Command Query Responsibility Segregation)
- Distributed caching (Redis, Hazelcast)
- Tools: Apache ZooKeeper, Consul, etcd

14. Testing & TDD/BDD
- Unit testing (JUnit, Mockito)
- Integration and functional testing
- Behavior-driven development (Cucumber)

15. CI/CD & DevOps
- Continuous integration (Jenkins, CircleCI)
- Containerization with Docker
- Orchestration with Kubernetes
- Source control (Git), versioning, branching strategies

16. Performance Tuning & Optimization
- JVM tuning, garbage collection optimization
- Caching strategies, load balancing
-Tools for profiling and monitoring (Prometheus, Grafana)

17. Security
- Authentication/authorization (OAuth2, JWT)
- Secure coding (OWASP guidelines)
- Encryption (TLS/SSL), CSRF/XSS prevention

18. Cloud Platforms & API Gateways
- AWS, Azure, GCP deployment
-API Gateway (Zuul, NGINX) for rate-limiting and routing
- Cloud-native microservices tools

19. Logging & Monitoring
- Centralized logging (ELK Stack, Graylog)
- Distributed tracing (Jaeger, Zipkin)
- Application Performance Monitoring (APM)

20. Caching Mechanisms
- In-memory caching (Ehcache, Caffeine)
- Distributed caching (Redis, Memcached)
- Cache invalidation strategies (LRU, LFU)

21. Build Tools
- Maven and Gradle for dependency management
- Multi-module project handling
- Continuous delivery pipelines

22. Message Queuing Systems
- Kafka, RabbitMQ for event-driven microservices
- Pub/Sub models, distributed message brokers

[Banana @markcuoi]

https://t.co/OIsEYOJZGz

[CryptoBullet @CryptoBullet1]

$SEI #SEI 1D

Just look at this gorgeous Bull Div on RSI 👀

Sellers are getting exhausted.

🔥 🔜

[Ashish Pratap Singh @ashishps_1]

Batch vs Stream Processing Explained:

🔹 𝐁𝐚𝐭𝐜𝐡 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠
- Processes data in large chunks (batches) at scheduled intervals.
- Ideal for historical data processing, data warehousing, and analytics.
- Examples: Payroll processing, periodic reporting, ETL jobs

Pros: Efficient for large volumes, cost-effective, optimized for throughput
Cons: High latency, not suitable for real-time needs

⚙️ Tools: Apache Hadoop, Apache Spark, AWS Glue

🔹 𝐒𝐭𝐫𝐞𝐚𝐦 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠
- Processes data continuously as it arrives
- Used for real-time analytics, fraud detection, live monitoring
- Examples: Stock market monitoring, real-time recommendation systems, IoT

Pros: Low latency, real-time insights, reactive systems
Cons: More complex, requires high availability and scalability

⚙️ Tools: Apache Kafka, Apache Flink, Apache Storm, Spark Streaming

Many modern systems use a hybrid approach �� batch for storage & analytics, stream for real-time insights!

💡 Which one do you use the most? Drop a comment below!

♻️ Repost to help others in your network.

[Amit @HeyAmit_]

I don’t understand why people aren’t using AI for trading.

AI makes it easy to boost profits and trade smarter.

Here’s a list of tools to level up your trading:

[Cred @CryptoCred]

$BTC Educational Chart

Indicators.

I don't look at volume bars.

I do look at the OBV (On Balance Volume) oscillator.

OBVOSC divergences can highlight where changes in volume may be hinting at a trend reversal or continuation.

I use 4H and 1D.

Case study: Bitcoin 4H chart.

[WIZZ🥷 ( beware scammers ) @CryptoWizardd]

Probably

Feb /march /april/may is where i will fully exit the market as i ecpect then the biggest gains will be made.

Thats the game plan for this cycle.

#btc

[Our Crypto Talk @ourcryptotalk]

AI MARKET OVERVIEW 🤖

Top Projects:

• $NEAR
• $RENDER
• $TAO
• $FET
• $ROSE
• $QUBIC
• $OXO
• $FLUX
• $PAAL
• $ORAI

Low Cap Gems 💎

• $LAI
• $NAI
• $DEAI
• $XNA
• $NATIX

Top Gainers 30D 📈

$NEURAL +222%
$PALM +207%
$TAI +194%
$QUBIC +164%
$MDAI +140%

Which one has the biggest potential amongst AI Altcoins?

[Hassan @nutlope]

My PDF summarizer app is coming soon!

100% free and open source.

[WIZZ🥷 ( beware scammers ) @CryptoWizardd]

Chart perfectly playing out. We had the rebound at 90 k as shown below. I expect to break upwards and break 100 k. Maybe pump for 2/3 weeks then major sell of with all lvrg traders to get liqiudated

Then hard rebound.

Wizz ta. #btc

[Rohan Paul @rohanpaul_ai]

Leaked system prompts from Vercels v0 tool. 👀

[Nils @nilseller]

To website - https://t.co/p9oVh992KT launching Nov 6th.

Beautifully animated by @flornkm

[SumitM @SumitM_X]

As a frontend engineer.

Please learn:

- JavaScript/TypeScript

- Responsive Design (CSS, Flexbox, Grid)

- Performance Optimization (lazy loading, code splitting, tree shaking, memoization)

- Web Security (CORS, XSS, CSRF,Content Security Policy, Secure Cookies)

- Testing (Jest, Cypress, Enzyme)

- Build Tools (Webpack, Vite, Babel)

- Version Control (Git)

- Browser DevTools & Debugging

- Accessibility (WCAG standards)

- Progressive Web Apps (PWA)

- Component Architecture (Atomic Design, Higher-Order Components)

- Micro Frontends

- API Integration (REST, GraphQL, WebSockets)

- Testing Strategies (Unit, Integration, End-to-End)

- CI/CD for Frontend (automated builds, deployments)

- Browser Rendering & DOM Optimization

- WebAssembly (Wasm)

- UX/UI Design Collaboration

- Accessibility Audits (ARIA, screen readers)

- State Management (Redux, MobX)

- Frontend Framework Internals (eg: React Fiber for React, Angular Ivy for Angular)

Pick up a framework/library..

Stop jumping from one framework to the other

[AshutoshShrivastava @ai_for_success]

Google Gemini’s free tier is the best way to get started with AI, and it’s surprising not many people talk about,
If you're a student or just trying to build something, this is actually super useful.
My favorite model is Gemini 1.5 Flash 8B model.
🧵

[Ashish Pratap Singh @ashishps_1]

15 System Design Building Blocks You Should Know:

1. Load Balancers
2. Reverse Proxy
3. Domain Name System (DNS)
4. Databases
5. Blob Store
6. Distributed Cache
7. Content Delivery Network (CDN)
8. Rate limiter
9. Distributed Messaging Queues
10. Microservices
11. Distributed Unique ID Generator
12. Distributed Task Scheduler
13. Pub-Sub System
14. Distributed logging system
15. Monitoring systems

I wrote an article on these building blocks. Read it here: https://t.co/NauvsAghHh

Subscribe for more such articles every week.

[Jiganesh⚡ @PatilJiganesh]

System Design - 4 : Rate Limiter and Rate Limiting Algorithms

[Hassan @nutlope]

Announcing https://t.co/dBo5WECbkQ!

An open source wireframe to app tool powered by Llama 3.2 vision. Upload a screenshot of a simple site/design & get code.

100% free and open source.

[mark @r_marked]

https://t.co/atk28QbsQ7

Saved you $10

[Suraj @sujjeeee]

Passing a promise from a server component to a client component

[Javarevisited @javarevisited]

System Design concepts you must know by @ashishps_1